Atlas / Skills / browser-use / video-use

video-useSAFE

skills/browser-use/video-use

Edit videos with coding agents

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
1.0.0
Hosts
3 documented
License
MIT
Stars
29,403
01

Overview

From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.

Introducing video-use — edit videos with Claude Code. 100% open source.

Drop raw footage in a folder, chat with Claude Code, get final.mp4 back. Works for any content — talking heads, montages, tutorials, travel, interviews — without presets or menus.

Cloud-hosted video-use is coming. Join the waitlist at video-use.com.

What it does

  • Cuts out filler words (umm, uh, false starts) and dead space between takes
  • Auto color grades every segment (warm cinematic, neutral punch, or any custom ffmpeg chain)
  • 30ms audio fades at every cut so you never hear a pop
  • Burns subtitles in your style — 2-word UPPERCASE chunks by default, fully customizable
  • Generates animation overlays via HyperFrames, Remotion, Manim, or PIL — spawned in parallel sub-agents, one per animation
  • Self-evaluates the rendered output at every cut boundary before showing you anything
  • Persists session memory in project.md so next week's session picks up where you left off

Setup prompt

Paste into Claude Code, Codex, Hermes, Openclaw, or any agent with shell access:

Set up https://github.com/browser-use/video-use for me.

Read install.md first to install this repo, wire up ffmpeg, register the skill with whichever agent you're running under, and set up the ElevenLabs API key — ask me to paste it when you need it. Then read SKILL.md for daily usage, and always read helpers/ because that's where the editing scripts live. After install, don't transcribe anything on your own — just tell me it's ready and wait for me to drop footage into a folder.

The agent handles the clone, dependencies, skill registration, and prompts you once for your ElevenLabs API key (grab one at [elevenlabs.io/app

Read from source at commit b442dbb984c8OBSERVED · 2026-10-20
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02

Install

Commands as the repository documents them. They are shown, not run.

git clone https://github.com/browser-use/video-use ~/Developer/video-use
uv sync                         # or: pip install -e .
pip install "manim-voiceover[elevenlabs]"
pip install "manim-voiceover[gtts]"    # Google TTS (free, lower quality)
pip install "manim-voiceover[azure]"   # Azure Cognitive Services
03

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
claude-codementioned
codexmentioned
openclawmentioned
04

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: video-use
description: Edit any video by conversation. Transcribe, cut, color grade, generate overlay animations, burn subtitles — for talking heads, montages, tutorials, travel, interviews. No presets, no menus. Ask questions, confirm the plan, execute, iterate, persist. Production-correctness rules are hard; everything else is artistic freedom.
---

# Video Use

## Principle

1. **LLM reasons from raw transcript + on-demand visuals.** The only derived artifact that earns its keep is a packed phrase-level transcript (`takes_packed.md`). Everything else — filler tagging, retake detection, shot classification, emphasis scoring — you derive at decision time.
2. **Audio is primary, visuals follow.** Cut candidates come from speech boundaries and silence gaps. Drill into visuals only at decision points.
3. **Ask → confirm → execute → iterate → persist.** Never touch the cut until the user has confirmed the strategy in plain English.
4. **Generalize.** Do not assume what kind of video this is. Look at the material, ask the user, then edit.
5. **Artistic freedom is the default.** Every specific value, preset, font, color, duration, pitch structure, and technique in this document is a *worked example* from one proven video — not a mandate. Read them to understand what's possible and why each worked. Then make your own taste calls based on what the material actually is and what the user actually wants. **The only things you MUST do are in the Hard Rules section below.** Everything else is yours.
6. **Invent freely.** If the material calls for a technique not described here — split-screen, picture-in-picture, lower-third identity cards, reaction cuts, speed ramps, freeze frames, crossfades, match cuts, L-cuts, J-cuts, speed ramps over breath, whatever — build it. The helpers are ffmpeg and PIL. They can do anything the format supports. Do not wait for permission.
7. **Verify your own output before showing it to the user.** If you wouldn't ship it, don't present it.

## Hard Rules (production correctness — non-negotiable)

These are the things where deviation produces silent failures or broken output. They are not taste, they are correctness. Memorize them.

1. **Subtitles are applied LAST in the filter chain**, after every overlay. Otherwise overlays hide captions. Silent failure.
2. **Per-segment extract → lossless `-c copy` concat**, not single-pass filtergraph. Otherwise you double-encode every segment when overlays are added.
3. **30ms audio fades at every segment boundary** (`afade=t=in:st=0:d=0.03,afade=t=out:st={dur-0.03}:d=0.03`). Otherwise audible pops at every cut.
4. **Overlays use `setpts=PTS-STARTPTS+T/TB`** to shift the overlay's frame 0 to its window start. Otherwise you see the middle of the animation during the overlay window.
5. **Master SRT uses output-timeline offsets**: `output_time = word.start - segment_start + segment_offset`. Otherwise captions misalign after segment concat.
6. **Never cut inside a word.** Snap every cut edge to a word boundary from the Scribe transcript.
7. **Pad every cut edge.** Working window: 30–200ms. Scribe timestamps drift 50–100ms — padding absorbs the drift. Tighter for fast-paced, looser for cinematic.
8. **Word-level verbatim ASR only.** Never SRT/phrase mode (loses sub-second gap data). Never normalized fillers (loses editorial signal).
9. **Cache transcripts per source.** Never re-transcribe unless the source file itself changed.
10. **Parallel sub-agents for multiple animations.** Never sequential. Spawn N at once via the `Agent` tool; total wall time ≈ slowest one.
11. **Strategy confirmation before execution.** Never touch the cut until the user has approved the plain-English plan.
12. **All session outputs in `<videos_dir>/edit/`.** Never write inside the `video-use/` project directory.

Everything else in this document is a worked example. Deviate whenever the material calls for it.

## Directory layout

The skill lives in `video-use/`. User footage lives wherever they put it. All session outputs go into `<videos_dir>/edit/`.

```
<videos_dir>/
├── <source files, untouched>
└── edit/
    ├── project.md               ← memory; appended every session
    ├── takes_packed.md          ← phrase-level transcripts, the LLM's primary reading view
    ├── edl.json                 ← cut decisions
    ├── transcripts/<name>.json  ← cached raw Scribe JSON
    ├── animations/slot_<id>/    ← per-animation source + render + reasoning
    ├── clips_graded/            ← per-segment extracts with grade + fades
    ├── master.srt               ← output-timeline subtitles
    ├── downloads/               ← yt-dlp outputs
    ├── verify/                  ← debug frames / timeline PNGs
    ├── preview.mp4
    └── final.mp4
```

## Setup

First-time install lives in `install.md` (clone, deps, ffmpeg, skill registration, API key). Don't re-run it every session; on cold start just verify:

- `ELEVENLABS_API_KEY` resolves — either in the environment or in `.env` at the video-use repo root. If missing, ask the user to paste one and write it to `.env` (never to the user's `<videos_dir>`).
- `ffmpeg` + `ffprobe` on PATH.
- Python deps installed (`uv sync` or `pip install -e .` inside the repo).
- Node.js + npm available if the session needs HyperFrames or Remotion slots. HyperFrames currently requires Node.js 22+.
- `yt-dlp`, HyperFrames, Remotion, Manim installed only on first use.
- First-use animation setup happens inside the slot directory, never at the video-use repo root. HyperFrames can be invoked with `npx --yes hyperframes ...`; Remotion can be scaffolded with `npx create-video@latest` or installed as a project-local dependency before using its `remotion render` command.
- This skill vendors `skills/manim-video/`. Read its SKILL.md when building a Manim slot.

Helpers (`helpers/transcribe.py`, `helpers/render.py`, etc.) live alongside this SKILL.md. Resolve their paths relative to the directory containing this file — the skill is typically symlin
05

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
declared (1 observation(s))
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-20 · audit v0.4.1 · source sha b442dbb984c8full audit observations/trust-audit/skill/browser-use__video-use.json · Report an issue / request a re-scan
06

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-20b442dbb984c8SAFEB89first audit
07

Questions

What does the video-use — browser-use/video-use skill do?

Edit videos with coding agents

Is video-use — browser-use/video-use safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can video-use — browser-use/video-use access on my machine?

The audit observed that it reaches the network. Each of those is consistent with what it says it does. Secrets in the source: none found.

Which assistants does video-use — browser-use/video-use work with?

Its documentation mentions claude-code, codex and openclaw. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (b442dbb984c8), read on 2026-10-20. The repository is watched, and a new audit runs when it changes — this is the first audit.

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